Development of intellectual LMS that has the advanced data-mining function of the study history in e-Learning

本研究的主要内容包括：1)学习历史数据库的结构设计；2)面向电子学习的海量学习历史数据挖掘新方法；3)具有学习历史数据挖掘功能的新学习历史管理系统的开发。具体功能如下：1)在线检测学习过程不规律的学习者2)在线预测未来学习者的状态3)使用贝叶斯信念网络自动构建学习者模型4)学习历史数据的关联规则分析5)学习时间数据的在线伽玛分布分析6)使用数据挖掘的在线学习代理事实上，我们将该系统应用于实际学习者。结果表明，该系统是非常有效的。

This research reports the following : 1) The design of the structure of the learning histories data-base, 2) New data mining method for huge amount of the learning histories data for e-learning, and 3) a development of new LMS with a function of data mining for learning histories data. The details of the functions are as follows :1) Online Detection of the learners with irregular learning processes2) Online prediction function of future learner's state3) Automatic construction of the learner model using the Bayesian belief network4) Association Rule analysis of Learning histories data5) On-line Gamma distribution analysis of learning time data6) Online leaning agent using the data miningActually, we used this system to actual learners. The results show that the system is very effective.